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QUANT SKILLS
Academic integrity – avoiding plagiarism
16 HRS
PUBLISHED MAY 2025
This comprehensive course empowers your students with essential skills for upholding   academic integrity throughout their studies. The focus is on practical techniques to master proper citation techniques, format reference lists , and effective methods for integrating source material through summarizing, paraphrasing, and quoting.

This course includes a focus on how to use GenAI tools responsibly in academic work, including proper documentation, acknowledgment, and citation practices.  

This section supports and supplements in-house policies on GenAI use.By implementing this course, you will  equip your students with competencies vital for academic success and  enhance the quality of theiracademic work.
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Highlights
💡 Academic integrity in the digital age
Practical guidance on maintaining academic integrity in an era of online resources, collaborative tools, and generative AI.
⚡️ Compatible with in-house guidance & policy
Supplements your institution's existing academic integrity frameworks while providing additional guidance, examples and activities.
🌎️ Practical examples
Clear examples distinguishing between acceptable and unacceptable academic practices.
✍️️ Clear and concise
Specifically designed for both native and non-native English speakers
Curriculum
Learning Outcomes
PUBLISH DATE
May 2025
DURATION
Approx. 3 Hours
LEVEL
Business school students at all levels, from undergraduate to MBA.
AUTHOR
Dr. David Lefevre
Imperial College Business School
TOPIC
Understanding Plagiarism: Defining plagiarism and understanding why it happens
LESSONS
• Introduction
• Why do universities care so much about plagiarism?
• What is plagiarism?
• Plagiarism and copyright
• Working with others: Is it plagiarism?
• Why do some students plagiarize?
TOPIC
Understanding Plagiarism: Detection, consequences, and prevention
LESSONS
• How do academic staff recognize plagiarism?
• Plagiarism detection software
• Consequences of plagiarism in academia and beyond
• Strategies for avoiding plagiarism
• Plagiarism and academic integrity
TOPIC
Managing and Integrating Sources: Understanding why and how to credit different types of sources
LESSONS
• The different kinds of sources
• Why include the work of others?
• When and how to credit sources
• In-text citations
• Referencing
• Primary and secondary sources
• Creating a correctly formatted reference list
• Review of different referencing and citation formats
• Using referencing software
TOPIC
Managing and Integrating Sources: Effective summarising, paraphrasing and quoting
LESSONS
• Introduction to summarizing, paraphrasing and quoting
• Quoting
• Paraphrasing
• Summarizing
TOPIC
GenAI and Academic Integrity: Understanding GenAI and Its Implications for Academia
LESSONS
• Introduction to Generative AI
• GenAI in academia
• The potential for plagiarism
TOPIC
GenAI and Academic Integrity: Ethical Use, documentation, and citation of GenAI
LESSONS
• Documenting your use of GenAI
• Acknowledging your use of GenAI
• Citing and referencing your use of GenAI
PUBLISH DATE
May 2025
DURATION
Approx. 3 Hours
LEVEL
Business school students at all levels, from undergraduate to MBA.
AUTHOR
Dr. David Lefevre
Imperial College Business School
Upon completion of this course, students will be able to:
• Recognize and avoid various forms of plagiarism in academic work
• Apply appropriate citation and referencing techniques across different formats
• Effectively summarize, paraphrase, and quote source materials while maintaining academic integrity
• Use Generative AI tools ethically and document their contributions appropriately
PUBLISH DATE
May 2025
DURATION
Approx. 16 Hours
LEVEL
Business school students at all levels, from undergraduate to MBA.
AUTHOR
Dr. David Lefevre
Imperial College Business School
TOPIC
Mathematical foundations for management I: understanding relationships
LESSONS
• Simple relationships in maths
• Manipulating fractions
• Fractions, decimals and ratios
• Linear relationships
• The form y = mx + c
• Rearranging linear equations
• Simultaneous equations
• Inequalities
• Linear relationships with more than two variables
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